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Visid Jaroen-ong
Visid Jaroen-ong

Visid Jaroen-ong

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From Understanding Random Forest by Tony Yiu

Let’s go through a visual example — in the picture above, the traditional decision tree (in blue) can select from all four features when deciding how to split the node. It decides to go with Feature 1 (black and underlined) as it sp…

From Understanding Random Forest by Tony Yiu

Notice that with bagging we are not subsetting the training data into smaller chunks and training each tree on a different chunk. Rather, if we have a sample of size N, we are st…

From Understanding Random Forest by Tony Yiu

So how does random forest ensure that the behavior of each individual tree is not too correlated with the behavior of any of the other trees in the model? It uses the following two methods:

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Understanding Random Forest

Tony Yiu

Deep Learning in Finance

Sonam Srivastava

Basic ML : K-means Step by Step

Khai-Toon